David Krahl

33 total papers · 407 total citations
28 papers, 283 citations indexed

About

David Krahl is a scholar working on Management Science and Operations Research, Software and Computational Theory and Mathematics. According to data from OpenAlex, David Krahl has authored 28 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Management Science and Operations Research, 5 papers in Software and 4 papers in Computational Theory and Mathematics. Recurrent topics in David Krahl's work include Simulation Techniques and Applications (23 papers), Model-Driven Software Engineering Techniques (5 papers) and Modeling and Simulation Systems (4 papers). David Krahl is often cited by papers focused on Simulation Techniques and Applications (23 papers), Model-Driven Software Engineering Techniques (5 papers) and Modeling and Simulation Systems (4 papers). David Krahl collaborates with scholars based in United States and Kenya. David Krahl's co-authors include Carolyn B. Bridges, Daniel B. Jernigan, Samuel B. Graitcer, Joseph D. Miller and Anthony J. Nastasi and has published in prestigious journals such as Disaster Medicine and Public Health Preparedness, Proceeding of the 2001 Winter Simulation Conference (Cat. No.01CH37304) and 2008 Winter Simulation Conference.

In The Last Decade

David Krahl

25 papers receiving 225 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
David Krahl	135	60	39	26	25	28	283
Solon Carvalho	33 0.2×	28 0.5×	6 0.2×	37 1.4×	4 0.2×	33	317
Claudia Frydman	91 0.7×	79 1.3×	44 1.1×	31 1.2×	4 0.2×	40	201
Leonardo Chwif	147 1.1×	76 1.3×	144 3.7×	23 0.9×	13 0.5×	28	319
Terrence Perera	139 1.0×	118 2.0×	135 3.5×	24 0.9×	14 0.6×	24	326
Hassan Rajaei	153 1.1×	36 0.6×	7 0.2×	178 6.8×	9 0.4×	40	305
Bikram Sharda	84 0.6×	72 1.2×	120 3.1×	9 0.3×	6 0.2×	21	313
Gilbert Arbez	68 0.5×	42 0.7×	10 0.3×	20 0.8×	5 0.2×	15	209
Carmen M. Pancerella	63 0.5×	17 0.3×	22 0.6×	103 4.0×	2 0.1×	22	227
Luiz Ricardo Pinto	39 0.3×	30 0.5×	44 1.1×	9 0.3×		28	273
Emily K. Lada	203 1.5×	27 0.5×	9 0.2×	18 0.7×	5 0.2×	26	326

Countries citing papers authored by David Krahl

Since Specialization

Citations

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

Fields of papers citing papers by David Krahl

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Krahl

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

All Works

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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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