Mohammad Aliannejadi

1.8k citations
68 papers · 688 indexed · h-index 14

Mohammad Aliannejadi

59 papers receiving 659 citations

Peers

Mohammad Aliannejadi
Comparison fields: 5 of 78
  • Artificial Intelligence 373
  • Information Systems 306
  • Marketing 113
  • Computer Networks and Communications 74
  • Transportation 64
Replace Wolfgang Wörndl with:
Wolfgang Wörndl Germany
Noboru Sonehara Japan
Yucong Duan China
Il Young Choi South Korea
Yang Sok Kim South Korea
Laura Sebastiá Spain
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Citations per field
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Citations per year

Countries citing papers authored by Mohammad Aliannejadi

Since Specialization
Citations

This map shows the geographic impact of Mohammad Aliannejadi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mohammad Aliannejadi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Aliannejadi more than expected).

Fields of papers citing papers by Mohammad Aliannejadi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammad Aliannejadi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mohammad Aliannejadi. The network helps show where Mohammad Aliannejadi may publish in the future.

Co-authorship network of co-authors of Mohammad Aliannejadi

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Aliannejadi. A scholar is included among the top collaborators of Mohammad Aliannejadi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mohammad Aliannejadi. Mohammad Aliannejadi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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14 37
15
Say it with Emojis : Co-designing relevance cues for searching in the classroom
3
16
Longformer for MS MARCO Document Re-ranking Task
1
17
Extending the Use of Previous Relevant Utterances for Response Ranking in Conversational Search.
3
18
Predicting Relevant Conversation Turns for Improved Retrieval in Multi-Turn Conversational Search.
1
19
Venue Appropriateness Prediction for Contextual Suggestion.
4
20
University of Lugano at TREC 2015: Contextual Suggestion and Temporal Summarization Tracks
7

About Mohammad Aliannejadi

Mohammad Aliannejadi is a scholar working on Information Systems, Artificial Intelligence and Transportation, having authored 68 papers that have together received 688 indexed citations. Recurring topics across this work include Topic Modeling (32 papers), Speech and dialogue systems (19 papers) and Recommender Systems and Techniques (16 papers). The work is most often cited by research in Information Systems (306 citations), Marketing (113 citations) and Artificial Intelligence (373 citations). Mohammad Aliannejadi has collaborated with scholars based in Netherlands, Switzerland and United States. Frequent co-authors include Fábio Crestani, Hossein A. Rahmani, Ruholla Jafari-Marandi, Abbas Keramati, Ubaid Abbasi, Ivan Sekulić, Maarten de Rijke, Evangelos Kanoulas, Dimitrios Rafailidis and Jeff Dalton. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Applied Soft Computing and Information Processing & Management.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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