John Mark Agosta

443 total citations
12 papers, 215 citations indexed

About

John Mark Agosta is a scholar working on Artificial Intelligence, Computer Networks and Communications and Ocean Engineering. According to data from OpenAlex, John Mark Agosta has authored 12 papers receiving a total of 215 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 4 papers in Computer Networks and Communications and 3 papers in Ocean Engineering. Recurrent topics in John Mark Agosta's work include Bayesian Modeling and Causal Inference (3 papers), Maritime Navigation and Safety (3 papers) and Network Security and Intrusion Detection (3 papers). John Mark Agosta is often cited by papers focused on Bayesian Modeling and Causal Inference (3 papers), Maritime Navigation and Safety (3 papers) and Network Security and Intrusion Detection (3 papers). John Mark Agosta collaborates with scholars based in United States, Switzerland and France. John Mark Agosta's co-authors include Rob Ennals, Beth Trushkowsky, Jaideep Chandrashekar, Eve M. Schooler, Denver Dash, Barbara Rosario, Carl Livadas, Branislav Kveton, Abraham Bachrach and Alexander Newman and has published in prestigious journals such as British Journal of Educational Technology, arXiv (Cornell University) and OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).

In The Last Decade

John Mark Agosta

12 papers receiving 202 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John Mark Agosta United States	6	134	89	67	55	40	12	215
Lorenzo Alvisi United States	6	113 0.8×	105 1.2×	87 1.3×	45 0.8×	28 0.7×	8	201
Ratan Dey United States	6	119 0.9×	70 0.8×	63 0.9×	115 2.1×	8 0.2×	8	232
Mohd Fazil India	9	118 0.9×	84 0.9×	159 2.4×	89 1.6×	81 2.0×	27	267
Pritam Gundecha United States	9	70 0.5×	50 0.6×	72 1.1×	50 0.9×	8 0.2×	13	174
Scott Alfeld United States	4	166 1.2×	45 0.5×	45 0.7×	34 0.6×	46 1.1×	11	229
Leucio Antonio Cutillo France	5	147 1.1×	165 1.9×	75 1.1×	127 2.3×	14 0.3×	7	312
Anupama Aggarwal India	7	105 0.8×	101 1.1×	239 3.6×	99 1.8×	111 2.8×	9	280
Georgios Kontaxis Greece	8	105 0.8×	75 0.8×	208 3.1×	82 1.5×	88 2.2×	13	261
Claudio Squarcella Italy	6	106 0.8×	127 1.4×	28 0.4×	34 0.6×	33 0.8×	12	197
Paweł Garbacki Netherlands	8	34 0.3×	190 2.1×	59 0.9×	40 0.7×	13 0.3×	12	234

Countries citing papers authored by John Mark Agosta

Since Specialization

Citations

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

Fields of papers citing papers by John Mark Agosta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Mark Agosta. 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 John Mark Agosta. The network helps show where John Mark Agosta may publish in the future.

Co-authorship network of co-authors of John Mark Agosta

This figure shows the co-authorship network connecting the top 25 collaborators of John Mark Agosta. A scholar is included among the top collaborators of John Mark Agosta 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 John Mark Agosta. John Mark Agosta 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

Zhu, Yiwen, et al.. (2023). Runtime Variation in Big Data Analytics. Proceedings of the ACM on Management of Data. 1(1). 1–20. 3 indexed citations

Agosta, John Mark, Jaideep Chandrashekar, Mark Crovella, Nina Taft, & Daniel Ting. (2013). Mixture models of endhost network traffic. 2744. 225–229. 4 indexed citations

Agosta, John Mark. (2013). Constraining Influence Diagram Structure by Generative Planning: An Application to the Optimization of Oil Spill Response. arXiv (Cornell University). 11–19. 1 indexed citations

Ennals, Rob, et al.. (2010). What is disputed on the web?. 67–74. 31 indexed citations

Ennals, Rob, Beth Trushkowsky, & John Mark Agosta. (2010). Highlighting disputed claims on the web. 341–350. 73 indexed citations

Agosta, John Mark, et al.. (2007). An adaptive anomaly detector for worm detection. 3. 22 indexed citations

Dash, Denver, Branislav Kveton, John Mark Agosta, et al.. (2006). When gossip is good: distributed probabilistic inference for detection of slow network intrusions. National Conference on Artificial Intelligence. 1115–1122. 42 indexed citations

Agosta, John Mark, et al.. (2006). A distributed host-based worm detection system. 107–113. 22 indexed citations

Millán, Eva, et al.. (2001). Bayesian student modeling and the problem of parameter specification. British Journal of Educational Technology. 32(2). 171–181. 13 indexed citations

10.

Agosta, John Mark, et al.. (1996). Spill response system configuration study. Final report. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations

11.

Agosta, John Mark, et al.. (1995). DECISION SUPPORT FOR OIL SPILL RESPONSE CONFIGURATION PLANNING. International Oil Spill Conference Proceedings. 1995(1). 936–937. 1 indexed citations

12.

Agosta, John Mark. (1992). Probabilistic recognition networks: an application of influence diagrams to visual recognition. 2 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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