Kathleen Kramer

659 total papers · 764 total citations
84 papers, 413 citations indexed

About

Kathleen Kramer is a scholar working on Artificial Intelligence, Aerospace Engineering and Control and Systems Engineering. According to data from OpenAlex, Kathleen Kramer has authored 84 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Artificial Intelligence, 27 papers in Aerospace Engineering and 26 papers in Control and Systems Engineering. Recurrent topics in Kathleen Kramer's work include Target Tracking and Data Fusion in Sensor Networks (38 papers), Fault Detection and Control Systems (22 papers) and Neural Networks and Applications (16 papers). Kathleen Kramer is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (38 papers), Fault Detection and Control Systems (22 papers) and Neural Networks and Applications (16 papers). Kathleen Kramer collaborates with scholars based in United States, Germany and Italy. Kathleen Kramer's co-authors include Stephen C. Stubberud, Erik Blasch, Giancarmine Fasano, Roberto Sabatini, H. Unbehauen, Carlos C. Insaurralde, George T. Schmidt, David A. Brown, Stephen Phillips and Lawrence Hall and has published in prestigious journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Instrumentation and Measurement and IEEE/ASME Transactions on Mechatronics.

In The Last Decade

Kathleen Kramer

77 papers receiving 394 citations

Author Peers

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

Author						Papers	Cites
Kathleen Kramer	190	162	108	78	57	84	413
Hadi Nobahari	184 1.0×	155 1.0×	99 0.9×	56 0.7×	56 1.0×	45	416
Won‐Sang Ra	160 0.8×	123 0.8×	112 1.0×	127 1.6×	41 0.7×	61	368
Carlos C. Insaurralde	111 0.6×	117 0.7×	129 1.2×	46 0.6×	44 0.8×	89	442
Dongliang Peng	139 0.7×	135 0.8×	55 0.5×	74 0.9×	82 1.4×	91	398
Yue Yang	157 0.8×	140 0.9×	157 1.5×	65 0.8×	86 1.5×	40	453
Tao Chao	243 1.3×	89 0.5×	165 1.5×	40 0.5×	49 0.9×	98	486
Weidong Zhou	217 1.1×	147 0.9×	108 1.0×	66 0.8×	34 0.6×	66	448
Jizhou Lai	347 1.8×	180 1.1×	103 1.0×	142 1.8×	76 1.3×	66	490
Tao Yang	153 0.8×	88 0.5×	54 0.5×	28 0.4×	58 1.0×	82	428
Martin A. Skoglund	138 0.7×	104 0.6×	48 0.4×	127 1.6×	79 1.4×	50	404

Countries citing papers authored by Kathleen Kramer

Since Specialization

Citations

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

Fields of papers citing papers by Kathleen Kramer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kathleen Kramer

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