Haggai Roitman
- Artificial Intelligence top 2%
- Information Systems top 2%
- Computer Vision and Pattern Recognition top 10%
- Signal Processing top 5%
- Computer Networks and Communications top 10%
- Co-authors
- David CarmelAvigdor GalNaama ZwerdlingYosi MassGuy FeigenblatDavid KonopnickiElad Yom‐TovRoee Shraga
- Topics
- Topic Modeling (20 papers)Information Retrieval and Search Behavior (17 papers)Web Data Mining and Analysis (16 papers)
- Journals
- IEEE Transactions on Knowledge and Data EngineeringIBM Journal of Research and DevelopmentProceedings of the VLDB Endowment
- Partner nations
- IsraelUnited StatesSpain
In The Last Decade
Haggai Roitman
75 papers receiving 813 citations
Peers
Comparison fields: 5 of 74
- Artificial Intelligence 478
- Information Systems 402
- Computer Vision and Pattern Recognition 142
- Signal Processing 130
- Computer Networks and Communications 124
Countries citing papers authored by Haggai Roitman
This map shows the geographic impact of Haggai Roitman'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 Haggai Roitman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haggai Roitman more than expected).
Fields of papers citing papers by Haggai Roitman
This network shows the impact of papers produced by Haggai Roitman. 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 Haggai Roitman. The network helps show where Haggai Roitman may publish in the future.
Co-authorship network of co-authors of Haggai Roitman
This figure shows the co-authorship network connecting the top 25 collaborators of Haggai Roitman. A scholar is included among the top collaborators of Haggai Roitman 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 Haggai Roitman. Haggai Roitman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 8 | |
| 3 | 7 | |
| 4 | 23 | |
| 5 | 2 | |
| 6 | 8 | |
| 7 | 4 | |
| 8 | 9 | |
| 9 | 21 | |
| 10 | 6 | |
| 11 | Proceedings of the 1st international workshop on Multimodal crowd sensing | 1 |
| 12 | 22 | |
| 13 | 11 | |
| 14 | 6 | |
| 15 | 5 | |
| 16 | 27 | |
| 17 | 17 | |
| 18 | 8 | |
| 19 | 3 | |
| 20 | 10 |
About Haggai Roitman
Haggai Roitman is a scholar working on Information Systems, Artificial Intelligence and Management Science and Operations Research, having authored 75 papers that have together received 869 indexed citations. Recurring topics across this work include Topic Modeling (20 papers), Information Retrieval and Search Behavior (17 papers) and Web Data Mining and Analysis (16 papers). The work is most often cited by research in Information Systems (402 citations), Artificial Intelligence (478 citations) and Signal Processing (130 citations). Haggai Roitman has collaborated with scholars based in Israel, United States and Spain. Frequent co-authors include David Carmel, Avigdor Gal, Naama Zwerdling, Yosi Mass, David Carmel, Guy Feigenblat, David Konopnicki, Elad Yom‐Tov, Roee Shraga and Michal Shmueli-Scheuer. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, IBM Journal of Research and Development and Proceedings of the VLDB Endowment.
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.