diff --git a/dhp-workflows/dhp-graph-mapper/src/main/scala/eu/dnetlib/dhp/sx/graph/SparkConvertRDDtoDataset.scala b/dhp-workflows/dhp-graph-mapper/src/main/scala/eu/dnetlib/dhp/sx/graph/SparkConvertRDDtoDataset.scala
index 556106180..362cb2028 100644
--- a/dhp-workflows/dhp-graph-mapper/src/main/scala/eu/dnetlib/dhp/sx/graph/SparkConvertRDDtoDataset.scala
+++ b/dhp-workflows/dhp-graph-mapper/src/main/scala/eu/dnetlib/dhp/sx/graph/SparkConvertRDDtoDataset.scala
@@ -116,54 +116,45 @@ object SparkConvertRDDtoDataset {
       .map(s => mapper.readValue(s, classOf[Relation]))
       .filter(r => r.getDataInfo != null && !r.getDataInfo.getDeletedbyinference)
       .filter(r => r.getSource.startsWith("50") && r.getTarget.startsWith("50"))
-      .filter(r => filterRelations(subRelTypeFilter, relClassFilter, r))
-      //filter OpenCitations relations
-      .filter(r =>
-        r.getDataInfo.getProvenanceaction != null &&
-        !"sysimport:crosswalk:opencitations".equals(r.getDataInfo.getProvenanceaction.getClassid)
-      )
+      .filter(r => filterRelations(r))
+    //filter OpenCitations relations
+//      .filter(r =>
+//        r.getDataInfo.getProvenanceaction != null &&
+//        !"sysimport:crosswalk:opencitations".equals(r.getDataInfo.getProvenanceaction.getClassid)
+//      )
 
     spark.createDataset(rddRelation).as[Relation].write.mode(SaveMode.Overwrite).save(s"$relPath")
   }
 
-  private def filterRelations(subRelTypeFilter: String, relClassFilter: List[String], r: Relation): Boolean = {
-    if (StringUtils.isNotBlank(subRelTypeFilter)) {
-      subRelTypeFilter.equalsIgnoreCase(r.getSubRelType)
-    } else {
-      !relClassFilter.exists(k => k.equalsIgnoreCase(r.getRelClass))
+  private def filterRelations(r: Relation): Boolean = {
+
+    /** *
+      * We filter relation generated by dedups
+      * and all the relation that have one single collectedFrom OpenCitation
+      */
+
+    val relClassFilter = List(
+      ModelConstants.MERGES,
+      ModelConstants.IS_MERGED_IN,
+      ModelConstants.HAS_AMONG_TOP_N_SIMILAR_DOCS,
+      ModelConstants.IS_AMONG_TOP_N_SIMILAR_DOCS
+    )
+    if (relClassFilter.exists(k => k.equalsIgnoreCase(r.getRelClass)))
+      false
+    else {
+      if (r.getCollectedfrom == null || r.getCollectedfrom.size() == 0)
+        false
+      else if (r.getCollectedfrom.size() > 1)
+        true
+      else if (
+        r.getCollectedfrom.size() == 1 && r.getCollectedfrom.get(0) != null && "OpenCitations".equalsIgnoreCase(
+          r.getCollectedfrom.get(0).getValue
+        )
+      )
+        false
+      else
+        true
     }
   }
 
-  /*
-  //TODO: finalise implementation
-  private def processResult[T<: Result](
-    implicit ct: ClassTag[T],
-    log: Logger,
-    spark: SparkSession,
-    sourcePath: String,
-    entityPath: String,
-    clazz: Class[T]
-  ): Unit = {
-    val entityType = clazz.getSimpleName.toLowerCase
-
-    log.info(s"Converting $entityType")
-
-    val mapper = new ObjectMapper() with ScalaObjectMapper
-    mapper.registerModule(DefaultScalaModule)
-
-    val rdd = spark.sparkContext
-      .textFile(s"$sourcePath/$entityType")
-      .map(s => mapper.readValue(s, clazz))
-      .filter(r => r.getDataInfo != null && !r.getDataInfo.getDeletedbyinference);
-
-    implicit val encoder: Encoder[T] = Encoders.kryo(clazz)
-    spark
-      .createDataset(rdd)
-      .as[T]
-      .write
-      .mode(SaveMode.Overwrite)
-      .save(s"$entityPath/$entityType")
-  }
-   */
-
 }