Hal Wasserman

1.6k total citations
12 papers, 838 citations indexed

About

Hal Wasserman is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Hal Wasserman has authored 12 papers receiving a total of 838 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computational Theory and Mathematics, 7 papers in Artificial Intelligence and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Hal Wasserman's work include graph theory and CDMA systems (4 papers), Coding theory and cryptography (4 papers) and Software Testing and Debugging Techniques (3 papers). Hal Wasserman is often cited by papers focused on graph theory and CDMA systems (4 papers), Coding theory and cryptography (4 papers) and Software Testing and Debugging Techniques (3 papers). Hal Wasserman collaborates with scholars based in United States and Hong Kong. Hal Wasserman's co-authors include Kinshuk Govil, Adam Tauman Kalai, Avrim Blum, Manuel Blum, Mohammad Amin Shokrollahi and Amin Shokrollahi and has published in prestigious journals such as IEEE Transactions on Information Theory, Journal of the ACM and IEEE Transactions on Computers.

In The Last Decade

Hal Wasserman

11 papers receiving 745 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hal Wasserman United States	8	370	312	295	260	180	12	838
Alastair Reid United States	15	315 0.9×	446 1.4×	119 0.4×	345 1.3×	148 0.8×	29	755
Christian Jacobi United States	15	138 0.4×	447 1.4×	226 0.8×	305 1.2×	212 1.2×	32	700
Stamatis Vassiliadis Netherlands	16	233 0.6×	619 2.0×	199 0.7×	476 1.8×	59 0.3×	91	878
Iouliia Skliarova Portugal	14	133 0.4×	432 1.4×	175 0.6×	257 1.0×	110 0.6×	102	663
Alessandro Forin United States	17	172 0.5×	625 2.0×	130 0.4×	566 2.2×	89 0.5×	57	918
Catherine H. Gebotys Canada	19	339 0.9×	914 2.9×	453 1.5×	357 1.4×	78 0.4×	90	1.2k
L. Jóźwiak Netherlands	17	336 0.9×	693 2.2×	568 1.9×	221 0.8×	474 2.6×	144	1.2k
Martin Hopkins United States	8	240 0.6×	754 2.4×	168 0.6×	546 2.1×	175 1.0×	15	1.0k
P.K. Lala United States	18	362 1.0×	728 2.3×	1.0k 3.5×	220 0.8×	224 1.2×	95	1.3k
Caxton C. Foster United States	12	163 0.4×	337 1.1×	157 0.5×	300 1.2×	78 0.4×	35	636

Countries citing papers authored by Hal Wasserman

Since Specialization

Citations

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

Fields of papers citing papers by Hal Wasserman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hal Wasserman. 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 Hal Wasserman. The network helps show where Hal Wasserman may publish in the future.

Co-authorship network of co-authors of Hal Wasserman

This figure shows the co-authorship network connecting the top 25 collaborators of Hal Wasserman. A scholar is included among the top collaborators of Hal Wasserman 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 Hal Wasserman. Hal Wasserman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

1.

Blum, Avrim, Adam Tauman Kalai, & Hal Wasserman. (2003). Noise-tolerant learning, the parity problem, and the statistical query model. Journal of the ACM. 50(4). 506–519. 214 indexed citations

2.

Shokrollahi, Mohammad Amin & Hal Wasserman. (2002). Decoding algebraic geometric codes. 40–41. 1 indexed citations

3.

Blum, Manuel & Hal Wasserman. (2002). Program result-checking: a theory of testing meets a test of theory. 382–392. 14 indexed citations

4.

Wasserman, Hal, et al.. (2002). An automated testing methodology based on self-checking software. 205–212.

5.

Blum, Avrim, Adam Tauman Kalai, & Hal Wasserman. (2000). Noise-tolerant learning, the parity problem, and the statistical query model. 435–440. 41 indexed citations

6.

Shokrollahi, Mohammad Amin & Hal Wasserman. (1999). List decoding of algebraic-geometric codes. IEEE Transactions on Information Theory. 45(2). 432–437. 53 indexed citations

7.

Wasserman, Hal. (1998). Reconstructing randomly sampled multivariate polynomials from highly noisy data. Symposium on Discrete Algorithms. 59–67. 3 indexed citations

8.

Shokrollahi, Amin & Hal Wasserman. (1998). Decoding algebraic geometric codes. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 225–228. 3 indexed citations

9.

Shokrollahi, Mohammad Amin & Hal Wasserman. (1998). Decoding algebraic-geometric codes beyond the error-correction bound. 241–248. 16 indexed citations

10.

Wasserman, Hal & Manuel Blum. (1997). Software reliability via run-time result-checking. Journal of the ACM. 44(6). 826–849. 113 indexed citations

11.

Blum, Manuel & Hal Wasserman. (1996). Reflections on the Pentium division bug. IEEE Transactions on Computers. 45(4). 385–393. 40 indexed citations

12.

Govil, Kinshuk, et al.. (1995). Comparing algorithm for dynamic speed-setting of a low-power CPU. 13–25. 340 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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