Haggai Roitman

1.4k total citations
75 papers, 869 citations indexed

About

Haggai Roitman is a scholar working on Information Systems, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Haggai Roitman has authored 75 papers receiving a total of 869 indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Information Systems, 42 papers in Artificial Intelligence and 15 papers in Management Science and Operations Research. Recurrent topics in Haggai Roitman's work include Topic Modeling (20 papers), Information Retrieval and Search Behavior (17 papers) and Web Data Mining and Analysis (16 papers). Haggai Roitman is often cited by papers focused on Topic Modeling (20 papers), Information Retrieval and Search Behavior (17 papers) and Web Data Mining and Analysis (16 papers). Haggai Roitman collaborates with scholars based in Israel, United States and Spain. Haggai Roitman's 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 and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, IBM Journal of Research and Development and Proceedings of the VLDB Endowment.

In The Last Decade

Haggai Roitman

75 papers receiving 813 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Haggai Roitman Israel	19	478	402	142	130	124	75	869
Omar Alonso United States	18	594 1.2×	503 1.3×	110 0.8×	159 1.2×	113 0.9×	81	1.2k
Richard McCreadie United Kingdom	18	515 1.1×	415 1.0×	105 0.7×	104 0.8×	119 1.0×	66	885
Pável Calado Portugal	22	703 1.5×	625 1.6×	140 1.0×	213 1.6×	140 1.1×	64	1.2k
Ernesto William De Luca Germany	16	461 1.0×	327 0.8×	123 0.9×	80 0.6×	77 0.6×	80	949
Naama Zwerdling Israel	9	419 0.9×	465 1.2×	135 1.0×	66 0.5×	111 0.9×	13	846
Josiane Mothe France	15	492 1.0×	268 0.7×	132 0.9×	94 0.7×	62 0.5×	103	792
Nadav Golbandi Israel	12	319 0.7×	479 1.2×	154 1.1×	180 1.4×	91 0.7×	14	829
Conor Hayes Ireland	16	379 0.8×	422 1.0×	111 0.8×	76 0.6×	151 1.2×	77	808
Leandro Balby Marinho Brazil	15	490 1.0×	794 2.0×	242 1.7×	104 0.8×	177 1.4×	51	1.1k
Samuel Ieong United States	11	387 0.8×	526 1.3×	141 1.0×	184 1.4×	162 1.3×	21	1.0k

Countries citing papers authored by Haggai Roitman

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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20 of 20 papers shown

Domshlak, Carmel, et al.. (2025). A Rank-Based Approach to Recommender System's Top-K Queries with Uncertain Scores. Proceedings of the ACM on Management of Data. 3(1). 1–26. 1 indexed citations

Shraga, Roee, Haggai Roitman, Guy Feigenblat, & Mustafa Canim. (2020). Ad Hoc Table Retrieval using Intrinsic and Extrinsic Similarities. 322. 2479–2485. 8 indexed citations

Roitman, Haggai, Yosi Mass, Guy Feigenblat, & Roee Shraga. (2020). Query Performance Prediction for Multifield Document Retrieval. 49–52. 2 indexed citations

Mass, Yosi & Haggai Roitman. (2020). Ad-hoc Document Retrieval using Weak-Supervision with BERT and GPT2. 4191–4197. 7 indexed citations

Gal, Avigdor, Haggai Roitman, & Roee Shraga. (2019). Learning to Rerank Schema Matches. IEEE Transactions on Knowledge and Data Engineering. 33(8). 3104–3116. 8 indexed citations

Gal, Avigdor, Haggai Roitman, & Roee Shraga. (2018). Heterogeneous Data Integration by Learning to Rerank Schema Matches. 959–964. 4 indexed citations

Roitman, Haggai. (2018). Enhanced Performance Prediction of Fusion-based Retrieval. 195–198. 8 indexed citations

Levine, Nir, Haggai Roitman, & Doron Cohen. (2017). An Extended Relevance Model for Session Search. 865–868. 9 indexed citations

Roitman, Haggai. (2017). An Enhanced Approach to Query Performance Prediction Using Reference Lists. 869–872. 18 indexed citations

10.

Roitman, Haggai, et al.. (2017). Enhanced Mean Retrieval Score Estimation for Query Performance Prediction. 35–42. 21 indexed citations

11.

Roitman, Haggai, Iván Cantador, & Miriam Fernández. (2012). Proceedings of the 1st international workshop on Multimodal crowd sensing. 1 indexed citations

12.

Carmel, David, Haggai Roitman, & Elad Yom‐Tov. (2012). On the Relationship between Novelty and Popularity of User-Generated Content. ACM Transactions on Intelligent Systems and Technology. 3(4). 1–19. 22 indexed citations

13.

Lee, Byung Chul, et al.. (2011). Using Pharmacogenetics Knowledge to Increase Accuracy of Alerts for Adverse Drug Events. Studies in health technology and informatics. 169. 569–73. 3 indexed citations

14.

Roitman, Haggai, Avigdor Gal, & Louiqa Raschid. (2010). A Dual Framework and Algorithms for Targeted Online Data Delivery. IEEE Transactions on Knowledge and Data Engineering. 23(1). 5–21. 5 indexed citations

15.

Carmel, David, Haggai Roitman, & Elad Yom‐Tov. (2010). On the relationship between novelty and popularity of user-generated content. 1509–1512. 8 indexed citations

16.

Roitman, Haggai, et al.. (2010). Increasing patient safety using explanation-driven personalized content recommendation. 430–434. 27 indexed citations

17.

Carmel, David, Haggai Roitman, & Elad Yom‐Tov. (2010). Social bookmark weighting for search and recommendation. The VLDB Journal. 19(6). 761–775. 17 indexed citations

18.

Lenchner, Jonathan, Daniela Roşu, Prasad Deshpande, et al.. (2009). A service delivery platform for server management services. IBM Journal of Research and Development. 53(6). 2:1–2:17. 12 indexed citations

19.

Carmel, David, Elad Yom‐Tov, & Haggai Roitman. (2008). Enhancing digital libraries using missing content analysis. 1–10. 10 indexed citations

20.

Domshlak, Carmel, Avigdor Gal, & Haggai Roitman. (2007). Rank Aggregation for Automatic Schema Matching. IEEE Transactions on Knowledge and Data Engineering. 19(4). 538–553. 28 indexed citations

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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