Glenn A. Kramer

564 total citations
12 papers, 359 citations indexed

About

Glenn A. Kramer is a scholar working on Industrial and Manufacturing Engineering, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Glenn A. Kramer has authored 12 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Industrial and Manufacturing Engineering, 5 papers in Control and Systems Engineering and 4 papers in Artificial Intelligence. Recurrent topics in Glenn A. Kramer's work include Manufacturing Process and Optimization (5 papers), Robotic Mechanisms and Dynamics (4 papers) and Advanced Numerical Analysis Techniques (3 papers). Glenn A. Kramer is often cited by papers focused on Manufacturing Process and Optimization (5 papers), Robotic Mechanisms and Dynamics (4 papers) and Advanced Numerical Analysis Techniques (3 papers). Glenn A. Kramer collaborates with scholars based in United States and British Virgin Islands. Glenn A. Kramer's co-authors include Richard Crawford, Josiah Hoskins, Shekhar Bhansali, William P. Mahoney, Kenny K. Wong, Santosh Kesari, Asher Wasserman, Jahir Pabon, Jeff Shrager and Timothy J. Stuhlmiller and has published in prestigious journals such as Artificial Intelligence, Computer-Aided Design and Journal of Artificial Intelligence Research.

In The Last Decade

Glenn A. Kramer

12 papers receiving 319 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Glenn A. Kramer United States	9	192	94	83	71	66	12	359
V. Chandru United States	11	530 2.8×	85 0.9×	109 1.3×	109 1.5×	162 2.5×	21	753
Brown United States	6	112 0.6×	64 0.7×	33 0.4×	55 0.8×	48 0.7×	17	376
Sang C. Park South Korea	13	257 1.3×	71 0.8×	74 0.9×	59 0.8×	15 0.2×	48	468
M. Marefat United States	10	237 1.2×	56 0.6×	16 0.2×	69 1.0×	66 1.0×	38	417
Eric Larsen Canada	6	53 0.3×	47 0.5×	87 1.0×	32 0.5×	11 0.2×	6	294
Prosenjit Gupta India	9	93 0.5×	67 0.7×	13 0.2×	32 0.5×	25 0.4×	43	302
Sandeep Patil Sweden	14	317 1.7×	12 0.1×	82 1.0×	17 0.2×	31 0.5×	56	531
Holger Schumann Germany	5	1.0k 5.3×	31 0.3×	30 0.4×	9 0.1×	69 1.0×	16	1.1k
Bing Bu China	11	103 0.5×	15 0.2×	57 0.7×	43 0.6×	162 2.5×	57	313
Lawrence Mandow Spain	10	86 0.4×	5 0.1×	41 0.5×	54 0.8×	34 0.5×	18	297

Countries citing papers authored by Glenn A. Kramer

Since Specialization

Citations

This map shows the geographic impact of Glenn 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 Glenn 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 Glenn A. Kramer more than expected).

Fields of papers citing papers by Glenn A. Kramer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Glenn A. Kramer. A scholar is included among the top collaborators of Glenn 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 Glenn A. Kramer. Glenn A. 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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12 of 12 papers shown

1.

Sengupta, Soma, et al.. (2024). A Health Care Clinical Data Platform for Rapid Deployment of Artificial Intelligence and Machine Learning Algorithms for Cancer Care and Oncology Clinical Trials. North Carolina Medical Journal. 85(4). 270–273. 1 indexed citations

2.

Stuhlmiller, Timothy J., Asher Wasserman, Glenn A. Kramer, et al.. (2023). AI-Augmented Clinical Decision Support in a Patient-Centric Precision Oncology Registry. 1(1). 58–68. 10 indexed citations

3.

Hoskins, Josiah & Glenn A. Kramer. (2002). Synthesis of mechanical linkages using artificial neural networks and optimization. IEEE International Conference on Neural Networks. 822–J. 9 indexed citations

4.

Bhansali, Shekhar, et al.. (1996). A Principled Approach Towards Symbolic Geometric Constraint Satisfaction. Journal of Artificial Intelligence Research. 4. 419–443. 8 indexed citations

5.

Kramer, Glenn A., et al.. (1996). Assembly modelling by geometric constraint satisfaction. Computer-Aided Design. 28(9). 707–722. 65 indexed citations

6.

Bhansali, Shekhar & Glenn A. Kramer. (1994). Planning from first principles for geometric constraint satisfaction. 319–324. 3 indexed citations

7.

Kramer, Glenn A.. (1993). Solving geometric constraint systems a case study in kinematics. Computer-Aided Design. 25(10). 678–679. 67 indexed citations

8.

Kramer, Glenn A., et al.. (1993). Exploiting Constraint Dependency Information For Debugging and Explanation.. 146–155. 2 indexed citations

9.

Kramer, Glenn A.. (1992). A geometric constraint engine. Artificial Intelligence. 58(1-3). 327–360. 55 indexed citations

10.

Kramer, Glenn A.. (1991). Using degrees of freedom analysis to solve geometric constraint systems. 371–378. 24 indexed citations

11.

Kramer, Glenn A.. (1990). Solving geometric constraint systems. OpenGrey (Institut de l'Information Scientifique et Technique). 708–714. 97 indexed citations

12.

Kramer, Glenn A.. (1983). Employing Massive Parallelism in Digital ATPG Algorithms.. International Test Conference. 108–114. 18 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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