Todd Mummert

654 total citations
12 papers, 388 citations indexed

About

Todd Mummert is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Todd Mummert has authored 12 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Networks and Communications, 7 papers in Information Systems and 4 papers in Artificial Intelligence. Recurrent topics in Todd Mummert's work include Cloud Computing and Resource Management (5 papers), Advanced Data Storage Technologies (4 papers) and Interconnection Networks and Systems (3 papers). Todd Mummert is often cited by papers focused on Cloud Computing and Resource Management (5 papers), Advanced Data Storage Technologies (4 papers) and Interconnection Networks and Systems (3 papers). Todd Mummert collaborates with scholars based in United States, Brazil and Canada. Todd Mummert's co-authors include Vasanth Bala, Richard Han, Pravin Bhagwat, R.O. LaMaire, Bowen Alpern, Glenn Ammons, Harry Printz, Paul Scherer, H. T. Kung and Canturk Isci and has published in prestigious journals such as Empirical Software Engineering, ACM SIGMETRICS Performance Evaluation Review and IEEE Personal Communications.

In The Last Decade

Todd Mummert

12 papers receiving 344 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Todd Mummert United States	9	273	163	107	68	59	12	388
Eunsam Kim South Korea	11	282 1.0×	82 0.5×	85 0.8×	61 0.9×	29 0.5×	52	340
Vladimir Kotlyar United States	6	86 0.3×	124 0.8×	88 0.8×	41 0.6×	59 1.0×	14	259
Anirban Chakrabarti India	9	297 1.1×	142 0.9×	38 0.4×	14 0.2×	70 1.2×	20	354
Robert Tappan Morris United States	6	414 1.5×	186 1.1×	170 1.6×	19 0.3×	49 0.8×	7	457
Rajat Mukherjee United States	8	359 1.3×	144 0.9×	34 0.3×	35 0.5×	61 1.0×	11	450
William R. Marczak United States	8	220 0.8×	153 0.9×	43 0.4×	14 0.2×	93 1.6×	13	301
Puneet Kumar United States	9	849 3.1×	155 1.0×	218 2.0×	59 0.9×	62 1.1×	14	881
Matteo Mordacchini Italy	11	441 1.6×	189 1.2×	29 0.3×	32 0.5×	50 0.8×	53	491
Daniel Ellard United States	13	451 1.7×	144 0.9×	77 0.7×	17 0.3×	138 2.3×	23	505
Eran Gabber Israel	13	518 1.9×	193 1.2×	257 2.4×	18 0.3×	172 2.9×	32	649

Countries citing papers authored by Todd Mummert

Since Specialization

Citations

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

Fields of papers citing papers by Todd Mummert

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Todd Mummert

This figure shows the co-authorship network connecting the top 25 collaborators of Todd Mummert. A scholar is included among the top collaborators of Todd Mummert 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 Todd Mummert. Todd Mummert 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.

Tsay, Jason, et al.. (2022). Extracting enhanced artificial intelligence model metadata from software repositories. Empirical Software Engineering. 27(7). 6 indexed citations

2.

Tsay, Jason, et al.. (2020). AIMMX. 81–92. 12 indexed citations

3.

Suneja, Sahil, Canturk Isci, Vasanth Bala, Eyal de Lara, & Todd Mummert. (2014). Non-intrusive, out-of-band and out-of-the-box systems monitoring in the cloud. 249–261. 27 indexed citations

4.

Suneja, Sahil, Canturk Isci, Vasanth Bala, Eyal de Lara, & Todd Mummert. (2014). Non-intrusive, out-of-band and out-of-the-box systems monitoring in the cloud. ACM SIGMETRICS Performance Evaluation Review. 42(1). 249–261. 7 indexed citations

5.

Ammons, Glenn, et al.. (2011). Virtual machine images as structured data: the mirage image library. IEEE International Conference on Cloud Computing Technology and Science. 22–22. 21 indexed citations

6.

Ammons, Glenn, et al.. (2008). Opening black boxes. 111–120. 65 indexed citations

7.

Alpern, Bowen, et al.. (2005). PDS. 8. 175–185. 27 indexed citations

8.

Eckhardt, David A., et al.. (2002). Buffer management and flow control in the Credit Net ATM host interface. 370–378. 3 indexed citations

9.

Han, Richard, et al.. (1998). Dynamic adaptation in an image transcoding proxy for mobile Web browsing. IEEE Personal Communications. 5(6). 8–17. 146 indexed citations

10.

Mummert, Todd, et al.. (1996). Fine grain parallel communication on general purpose LANs. 341–349. 8 indexed citations

11.

Steenkiste, Peter, et al.. (1994). Architecture and evaluation of a high-speed networking subsystem for distributed-memory systems. 22(2). 154–163. 11 indexed citations

12.

Printz, Harry, H. T. Kung, Todd Mummert, & Paul Scherer. (1989). Automatic Mapping Of Large Signal Processing Systems To A Parallel Machine. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1154. 2–2. 55 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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