Sholom M. Weiss

8.0k total citations · 3 hit papers
67 papers, 5.0k citations indexed

About

Sholom M. Weiss is a scholar working on Artificial Intelligence, Information Systems and Computational Theory and Mathematics. According to data from OpenAlex, Sholom M. Weiss has authored 67 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Artificial Intelligence, 26 papers in Information Systems and 12 papers in Computational Theory and Mathematics. Recurrent topics in Sholom M. Weiss's work include Data Mining Algorithms and Applications (20 papers), Machine Learning and Data Classification (11 papers) and AI-based Problem Solving and Planning (10 papers). Sholom M. Weiss is often cited by papers focused on Data Mining Algorithms and Applications (20 papers), Machine Learning and Data Classification (11 papers) and AI-based Problem Solving and Planning (10 papers). Sholom M. Weiss collaborates with scholars based in United States, Australia and Netherlands. Sholom M. Weiss's co-authors include Casimir A. Kulikowski, Nitin Indurkhya, Fred J. Damerau, Chidanand Apté, Ioannis Kapouleas, Tong Zhang, Aran Safir, Saul Amarel, Allen Ginsberg and Robert S. Galen and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Artificial Intelligence and Journal of Hypertension.

In The Last Decade

Sholom M. Weiss

67 papers receiving 4.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Computer systems that learn

1990 753 citations Sholom M. Weiss profile →
Computer systems that learn: classification and prediction methods from statistics, neural nets, machine learning, and expert systems

1991 609 citations Sholom M. Weiss, Casimir A. Kulikowski Morgan Kaufmann Publishers Inc. eBooks profile →
Automated learning of decision rules for text categorization

1994 572 citations Chidanand Apté, Fred J. Damerau et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sholom M. Weiss United States	24	3.1k	1.4k	528	454	384	67	5.0k
Rudy Setiono Singapore	32	3.4k 1.1×	998 0.7×	843 1.6×	887 2.0×	548 1.4×	90	5.4k
Charles X. Ling Canada	29	3.3k 1.1×	1.2k 0.8×	665 1.3×	700 1.5×	552 1.4×	131	5.7k
Marc K. Albert United States	14	3.1k 1.0×	1.1k 0.8×	380 0.7×	1.0k 2.2×	455 1.2×	26	5.4k
Vincent Ng Hong Kong	37	3.4k 1.1×	1.5k 1.1×	641 1.2×	349 0.8×	439 1.1×	190	5.5k
Petra Perner Germany	19	2.0k 0.6×	1.6k 1.1×	620 1.2×	670 1.5×	284 0.7×	105	4.2k
Stan Matwin Canada	36	4.3k 1.4×	1.3k 1.0×	330 0.6×	664 1.5×	436 1.1×	263	6.8k
Dennis Kibler United States	21	3.8k 1.2×	1.3k 0.9×	533 1.0×	1.0k 2.3×	612 1.6×	55	6.4k
Ramón Sangüesa Spain	9	2.3k 0.7×	718 0.5×	312 0.6×	877 1.9×	303 0.8×	19	4.2k
Pádraig Cunningham Ireland	37	3.1k 1.0×	1.1k 0.8×	264 0.5×	950 2.1×	550 1.4×	205	5.9k
Miroslav Kubát United States	23	4.4k 1.4×	1.0k 0.7×	300 0.6×	821 1.8×	261 0.7×	97	6.5k

Countries citing papers authored by Sholom M. Weiss

Since Specialization

Citations

This map shows the geographic impact of Sholom M. Weiss'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 Sholom M. Weiss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sholom M. Weiss more than expected).

Fields of papers citing papers by Sholom M. Weiss

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sholom M. Weiss. 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 Sholom M. Weiss. The network helps show where Sholom M. Weiss may publish in the future.

Co-authorship network of co-authors of Sholom M. Weiss

This figure shows the co-authorship network connecting the top 25 collaborators of Sholom M. Weiss. A scholar is included among the top collaborators of Sholom M. Weiss 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 Sholom M. Weiss. Sholom M. Weiss 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

Weiss, Sholom M. & Nitin Indurkhya. (2000). Lightweight Rule Induction. International Conference on Machine Learning. 1135–1142. 40 indexed citations

Weiss, Sholom M., et al.. (2000). Leightweight Document Clustering. 180-181. 665–672. 1 indexed citations

Seshadri, Vivek, et al.. (1995). Feature extraction for massive data mining. Knowledge Discovery and Data Mining. 258–262. 5 indexed citations

Weiss, Sholom M. & Nitin Indurkhya. (1994). Decision tree pruning: biased or optimal?. National Conference on Artificial Intelligence. 626–632. 16 indexed citations

Apté, Chidanand, Fred J. Damerau, & Sholom M. Weiss. (1994). Towards language independent automated learning of text categorization models. International ACM SIGIR Conference on Research and Development in Information Retrieval. 23–30. 101 indexed citations

White, William B., Per Lund‐Johansen, Sholom M. Weiss, Per Omvik, & Nitin Indurkhya. (1994). The relationships between casual and ambulatory blood pressure measurements and central hemodynamics in essential human hypertension. Journal of Hypertension. 12(9). 1075???1082–1075???1082. 14 indexed citations

Weiss, Sholom M. & Nitin Indurkhya. (1993). Rule-Based Regression.. International Joint Conference on Artificial Intelligence. 1072–1078. 12 indexed citations

Weiss, Sholom M. & Casimir A. Kulikowski. (1991). Computer systems that learn: classification and prediction methods from statistics, neural nets, machine learning, and expert systems. Morgan Kaufmann Publishers Inc. eBooks. 609 indexed citations breakdown →

Weiss, Sholom M. & Nitin Indurkhya. (1991). Reduced complexity rule induction. International Joint Conference on Artificial Intelligence. 678–684. 37 indexed citations

10.

Weiss, Sholom M. & Ioannis Kapouleas. (1989). An empirical comparison of pattern recognition, neural nets, and machine learning classification methods. International Joint Conference on Artificial Intelligence. 781–787. 332 indexed citations

11.

Weiss, Sholom M., et al.. (1989). A state transition model for rule-based expert systems. 11(1). 7–14. 1 indexed citations

12.

Weiss, Sholom M., Robert S. Galen, & Prasad Tadepalli. (1987). Optimizing the predictive value of diagnostic decision rules. National Conference on Artificial Intelligence. 521–526. 15 indexed citations

13.

Weiss, Sholom M., et al.. (1984). Using empirical analysis to refine expert system knowledge bases. Artificial Intelligence. 22(1). 23–48. 91 indexed citations

14.

Weiss, Sholom M., et al.. (1982). Building expert systems for controlling complex programs. National Conference on Artificial Intelligence. 322–326. 14 indexed citations

15.

Sharp, Gordon C., et al.. (1982). Book III: Scientific and Research Applications in Medical Care: An Expert Consultant System in Rheumatology: AI/RHEUM. 748. 1 indexed citations

16.

Weiss, Sholom M., et al.. (1981). A precedence scheme for selection and explanation of therapies. International Joint Conference on Artificial Intelligence. 908–909. 1 indexed citations

17.

Weiss, Sholom M., Casimir A. Kulikowski, & Robert S. Galen. (1981). Developing microprocessor based expert models for instrument interpretation. International Joint Conference on Artificial Intelligence. 853–855. 19 indexed citations

18.

Weiss, Sholom M., et al.. (1979). Learning production rules for consultation systems. International Joint Conference on Artificial Intelligence. 948–950. 2 indexed citations

19.

Weiss, Sholom M. & Casimir A. Kulikowski. (1979). EXPERT: a system for developing consultation models. International Joint Conference on Artificial Intelligence. 942–947. 124 indexed citations

20.

Weiss, Sholom M., Casimir A. Kulikowski, & Aran Safir. (1977). A model-based consultation system for the long-term management of glaucoma. International Joint Conference on Artificial Intelligence. 826–832. 36 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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