Michael Hind

6.6k total citations
62 papers, 3.0k citations indexed

About

Michael Hind is a scholar working on Hardware and Architecture, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Michael Hind has authored 62 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Hardware and Architecture, 32 papers in Artificial Intelligence and 21 papers in Computer Networks and Communications. Recurrent topics in Michael Hind's work include Parallel Computing and Optimization Techniques (38 papers), Logic, programming, and type systems (18 papers) and Software Testing and Debugging Techniques (12 papers). Michael Hind is often cited by papers focused on Parallel Computing and Optimization Techniques (38 papers), Logic, programming, and type systems (18 papers) and Software Testing and Debugging Techniques (12 papers). Michael Hind collaborates with scholars based in United States, Netherlands and Belgium. Michael Hind's co-authors include David Grove, Matthew Arnold, Stephen J. Fink, Peter F. Sweeney, Jong-Deok Choi, Amer Diwan, Vivek Sarkar, Michael Burke, Paul Carini and Kush R. Varshney and has published in prestigious journals such as Proceedings of the IEEE, World Journal of Gastroenterology and Journal of Machine Learning Research.

In The Last Decade

Michael Hind

59 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Hind United States	25	1.6k	1.5k	1.1k	866	646	62	3.0k
Yuriy Brun United States	33	904 0.6×	109 0.1×	992 0.9×	2.0k 2.3×	1.7k 2.6×	124	3.3k
Chris Hankin United Kingdom	21	1.3k 0.8×	410 0.3×	688 0.6×	740 0.9×	485 0.8×	97	2.4k
Shriram Krishnamurthi United States	33	2.1k 1.3×	648 0.4×	1.1k 1.0×	1.7k 1.9×	1.0k 1.6×	202	4.0k
Dinghao Wu United States	28	1.0k 0.6×	273 0.2×	516 0.5×	1.2k 1.3×	909 1.4×	103	2.4k
Amer Diwan United States	28	1.6k 1.0×	1.8k 1.2×	1.8k 1.7×	1.6k 1.9×	896 1.4×	106	3.7k
Bryan Ford United States	33	1.8k 1.1×	811 0.6×	2.5k 2.3×	1.7k 2.0×	205 0.3×	121	4.0k
Gary McGraw United States	30	1.4k 0.9×	308 0.2×	1.1k 1.1×	2.9k 3.3×	1.7k 2.6×	102	4.5k
Sriram K. Rajamani United States	33	2.0k 1.2×	676 0.5×	798 0.7×	1.3k 1.5×	2.0k 3.1×	115	3.9k
Edward F. Gehringer United States	21	298 0.2×	342 0.2×	402 0.4×	598 0.7×	65 0.1×	181	1.6k
Kathi Fisler United States	20	717 0.4×	139 0.1×	257 0.2×	553 0.6×	413 0.6×	85	1.5k

Countries citing papers authored by Michael Hind

Since Specialization

Citations

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

Fields of papers citing papers by Michael Hind

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Hind

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Arya, Vijay, Rachel Bellamy, Pin‐Yu Chen, et al.. (2020). AI Explainability 360: An Extensible Toolkit for Understanding Data and Machine Learning Models. Journal of Machine Learning Research. 21(130). 1–6. 37 indexed citations

2.

Arya, Vijay, Rachel Bellamy, Pin‐Yu Chen, et al.. (2020). AI Explainability 360 Toolkit. 376–379. 19 indexed citations

3.

Markus, Isaac M., Sekou L. Remy, Michael Hind, et al.. (2019). Promoting Distributed Trust in Machine Learning and Computational Simulation. 311–319. 8 indexed citations

4.

Hind, Michael, Dennis Wei, Murray Campbell, et al.. (2019). TED. 123–129. 52 indexed citations

5.

Hind, Michael, Sameep Mehta, Aleksandra Mojsilović, et al.. (2018). Increasing Trust in AI Services through Supplier's Declarations of Conformity. arXiv (Cornell University). 17 indexed citations

6.

Franke, Hubertus, et al.. (2010). Preface: Commercial software for multicore systems. IBM Journal of Research and Development. 54(5). 1–3. 18 indexed citations

7.

Lau, J., Matthew Arnold, Michael Hind, & Brad Calder. (2007). A Loop Correlation Technique to Improve Performance Auditing. International Conference on Parallel Architectures and Compilation Techniques. 259–269. 2 indexed citations

8.

Buytaert, Dries, Andy Georges, Michael Hind, et al.. (2007). Using hpm-sampling to drive dynamic compilation. 553–568. 19 indexed citations

9.

Lau, Jeremy, Matthew Arnold, Michael Hind, & Brad Calder. (2006). Online performance auditing. ACM SIGPLAN Notices. 41(6). 239–251. 36 indexed citations

10.

Hauswirth, Matthias, Peter F. Sweeney, Amer Diwan, & Michael Hind. (2005). The Need for a Whole-System View of Performance.. 4. 99–110.

11.

Hind, Michael & Jan Vítek. (2005). Proceedings of the 1st ACM/USENIX international conference on Virtual execution environments. 2 indexed citations

12.

Arnold, Matthew, Stephen J. Fink, David Grove, Michael Hind, & P. Sweeney. (2005). A Survey of Adaptive Optimization in Virtual Machines. Proceedings of the IEEE. 93(2). 449–466. 141 indexed citations

13.

Hauswirth, Matthias, Peter F. Sweeney, Amer Diwan, & Michael Hind. (2004). Vertical profiling. 251–269. 107 indexed citations

14.

Hind, Michael, V. T. Rajan, Peter F. Sweeney, & V. T. Rajan. (2003). Phase Shift Detection: A Problem Classification. World Journal of Gastroenterology. 19(3). 399–403. 21 indexed citations

15.

Hind, Michael, et al.. (2003). Loop distribution with multiple exits. 204–213.

16.

Hind, Michael. (2001). Pointer analysis. 54–61. 380 indexed citations

17.

Burke, Michael, Jong-Deok Choi, Stephen J. Fink, et al.. (1999). The Jalapeño dynamic optimizing compiler for Java. 129–141. 196 indexed citations

18.

Carini, Paul & Michael Hind. (1995). Flow-sensitive interprocedural constant propagation. 23–31. 10 indexed citations

19.

Carini, Paul & Michael Hind. (1995). Flow-sensitive interprocedural constant propagation. ACM SIGPLAN Notices. 30(6). 23–31. 4 indexed citations

20.

Hind, Michael, et al.. (1992). Loop distribution with multiple exits. Conference on High Performance Computing (Supercomputing). 1992. 204–213. 1 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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