Mark A. Kramer

2.7k total citations · 1 hit paper
41 papers, 1.9k citations indexed

About

Mark A. Kramer is a scholar working on Artificial Intelligence, Control and Systems Engineering and Political Science and International Relations. According to data from OpenAlex, Mark A. Kramer has authored 41 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 10 papers in Control and Systems Engineering and 5 papers in Political Science and International Relations. Recurrent topics in Mark A. Kramer's work include Fault Detection and Control Systems (10 papers), Neural Networks and Applications (9 papers) and AI-based Problem Solving and Planning (7 papers). Mark A. Kramer is often cited by papers focused on Fault Detection and Control Systems (10 papers), Neural Networks and Applications (9 papers) and AI-based Problem Solving and Planning (7 papers). Mark A. Kramer collaborates with scholars based in United States, Austria and Netherlands. Mark A. Kramer's co-authors include James A. Leonard, Herschel Rabitz, Dalcio K. Dacol, Lyle Ungar, J.M. Calo, William Stauder, Raima Larter, Robert J. Kee, Andrew J. Szeri and Erik Edwards and has published in prestigious journals such as The Journal of Chemical Physics, AIChE Journal and Annual Review of Physical Chemistry.

In The Last Decade

Mark A. Kramer

38 papers receiving 1.8k citations

Hit Papers

Sensitivity Analysis in Chemical Kinetics 1983 2026 1997 2011 1983 100 200 300 400
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.

  1. Sensitivity Analysis in Chemical Kinetics
    1983 403 citations Herschel Rabitz, Mark A. Kramer et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark A. Kramer United States 19 698 546 243 171 161 41 1.9k
Rein Luus Canada 29 1.8k 2.5× 386 0.7× 171 0.7× 103 0.6× 188 1.2× 130 2.8k
Paul T. Boggs United States 16 529 0.8× 234 0.4× 203 0.8× 134 0.8× 247 1.5× 36 2.7k
Vojislav Kecman New Zealand 22 281 0.4× 695 1.3× 398 1.6× 44 0.3× 82 0.5× 83 2.5k
M. J. Box Canada 15 395 0.6× 145 0.3× 264 1.1× 231 1.4× 118 0.7× 24 2.2k
Hans Georg Bock Germany 25 2.2k 3.2× 173 0.3× 316 1.3× 183 1.1× 216 1.3× 88 3.8k
Douglass J. Wilde United States 20 532 0.8× 230 0.4× 419 1.7× 187 1.1× 200 1.2× 82 2.5k
Sandro Ridella Italy 24 354 0.5× 1.3k 2.3× 161 0.7× 50 0.3× 148 0.9× 136 3.1k
Jihun Park South Korea 11 1.2k 1.8× 1.3k 2.3× 275 1.1× 98 0.6× 202 1.3× 51 3.2k
Bobak Shahriari United States 4 351 0.5× 1.1k 2.0× 310 1.3× 186 1.1× 80 0.5× 6 3.4k
Katalin M. Hangos Hungary 21 1.1k 1.5× 122 0.2× 177 0.7× 136 0.8× 69 0.4× 211 1.9k

Countries citing papers authored by Mark A. Kramer

Since Specialization
Citations

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

Fields of papers citing papers by Mark A. Kramer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark A. Kramer

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

All Works

20 of 20 papers shown
1.
Kramer, Mark A., et al.. (2023). Interoperability with multiple Fast Healthcare Interoperability Resources (FHIR®) profiles and versions. JAMIA Open. 6(1). ooad001–ooad001. 3 indexed citations
2.
Kramer, Mark A.. (2022). Reducing FHIR "Profiliferation": A Data-Driven Approach.. PubMed. 2022. 634–643. 3 indexed citations
3.
Kramer, Mark A.. (2021). Innovating Methods: Observing In Situ Technology Experiences Using Novel Visual Research Methods. International Journal of Human-Computer Interaction. 38(3). 253–262. 4 indexed citations
4.
Kramer, Mark A.. (2012). The Sinking of the Kursk. PonarsEuarasia - Policy Memos.
5.
Fuchs, Christian, et al.. (2006). Broadening eParticipation: Rethinking ICTs and Participation. 10 indexed citations
6.
Hudson, D.L., et al.. (2005). Diagnostic Implications of EEG Analysis in Patients with Dementia. 4. 629–632. 9 indexed citations
7.
Kramer, Mark A., Erik Edwards, Maryam Soltani, et al.. (2004). Synchronization measures of bursting data: Application to the electrocorticogram of an auditory event-related experiment. Physical Review E. 70(1). 11914–11914. 18 indexed citations
8.
Kramer, Mark A.. (1998). Scrupulousness without scruples: a critique of Lon Fuller and his defenders. Oxford Journal of Legal Studies. 18(2). 235–264. 8 indexed citations
9.
Kramer, Mark A., et al.. (1995). Hazard function modeling using cross validation: From data collection to model selection. Reliability Engineering & System Safety. 49(2). 155–169. 6 indexed citations
10.
Leonard, James A., Mark A. Kramer, & Lyle Ungar. (1992). Using radial basis functions to approximate a function and its error bounds. IEEE Transactions on Neural Networks. 3(4). 624–627. 177 indexed citations
11.
Kramer, Mark A.. (1992). Autoassociative neural networks. Computers & Chemical Engineering. 16(4). 313–328. 377 indexed citations
12.
Kramer, Mark A., et al.. (1991). Qualitative analysis of causal feedback. National Conference on Artificial Intelligence. 817–823. 19 indexed citations
13.
Leonard, James A. & Mark A. Kramer. (1990). Improvement of the backpropagation algorithm for training neural networks. Computers & Chemical Engineering. 14(3). 337–341. 210 indexed citations
14.
Kramer, Mark A. & James A. Leonard. (1990). Diagnosis using backpropagation neural networks—analysis and criticism. Computers & Chemical Engineering. 14(12). 1323–1338. 107 indexed citations
15.
Kramer, Mark A., et al.. (1989). The role of causal and noncausal constraints in steady-state qualitative modeling. John Wiley & Sons, Inc. eBooks. 327–358. 5 indexed citations
16.
Kramer, Mark A., et al.. (1987). Qualitative Simulation of Process Plants. IFAC Proceedings Volumes. 20(5). 329–334. 3 indexed citations
17.
Kramer, Mark A., Herschel Rabitz, & J.M. Calo. (1984). Sensitivity analysis of oscillatory systems. Applied Mathematical Modelling. 8(5). 328–340. 35 indexed citations
18.
Larter, Raima, Herschel Rabitz, & Mark A. Kramer. (1984). Sensitivity analysis of limit cycles with application to the Brusselator. The Journal of Chemical Physics. 80(9). 4120–4128. 28 indexed citations
19.
Kramer, Mark A., Herschel Rabitz, & J.M. Calo. (1984). Parametric scaling of mathematical models. Applied Mathematical Modelling. 8(5). 341–350. 6 indexed citations
20.
Kramer, Mark A., J.M. Calo, & Herschel Rabitz. (1981). An improved computational method for sensitivity analysis: Green's function method with ‘AIM’. Applied Mathematical Modelling. 5(6). 432–441. 53 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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