Robert M. Edsall

701 total citations
11 papers, 408 citations indexed

About

Robert M. Edsall is a scholar working on Computer Vision and Pattern Recognition, Geography, Planning and Development and Signal Processing. According to data from OpenAlex, Robert M. Edsall has authored 11 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 6 papers in Geography, Planning and Development and 3 papers in Signal Processing. Recurrent topics in Robert M. Edsall's work include Data Visualization and Analytics (6 papers), Geographic Information Systems Studies (5 papers) and Data Management and Algorithms (3 papers). Robert M. Edsall is often cited by papers focused on Data Visualization and Analytics (6 papers), Geographic Information Systems Studies (5 papers) and Data Management and Algorithms (3 papers). Robert M. Edsall collaborates with scholars based in United States and Slovakia. Robert M. Edsall's co-authors include D. Haug, Alan M. MacEachren, Mónica Wachowicz, Kelli L. Larson, Elizabeth A. Wentz, Jeremy Mennis, Mark Harrower and Sven Fuhrmann and has published in prestigious journals such as Computers & Geosciences, Computational Statistics & Data Analysis and The Professional Geographer.

In The Last Decade

Robert M. Edsall

10 papers receiving 359 citations

Peers

Robert M. Edsall

GPD

CVPR

SP

GPC

AI

Jochen Schiewe Germany

Frank Hardisty United States

C.A. Blok Netherlands

Susanne Bleisch Switzerland

Ferjan Ormeling Netherlands

S. Wróbel Germany

Alexandra Koussoulakou Greece

Peter Gatalsky Germany

Ian Muehlenhaus United States

John Krygier United States

Jochen Schiewe Germany

Robert M. Edsall

169 ×0.8

GPD

220 ×1.3

CVPR

58 ×0.7

SP

112 ×2.1

GPC

64 ×1.3

AI

Citations per year, relative to Robert M. Edsall Robert M. Edsall (= 1×) peers Jochen Schiewe

Countries citing papers authored by Robert M. Edsall

Since Specialization

Citations

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

Fields of papers citing papers by Robert M. Edsall

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert M. Edsall. 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 Robert M. Edsall. The network helps show where Robert M. Edsall may publish in the future.

Co-authorship network of co-authors of Robert M. Edsall

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

All Works

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11 of 11 papers shown

1.

Edsall, Robert M., et al.. (2018). Geovisualization applications to examine and explore high-density and hierarchical critical infrastructure data. Proceedings of the ICA. 1. 1–8.

2.

Larson, Kelli L. & Robert M. Edsall. (2010). The impact of visual information on perceptions of water resource problems and management alternatives. Journal of Environmental Planning and Management. 53(3). 335–352. 22 indexed citations

3.

Edsall, Robert M. & Kelli L. Larson. (2009). Effectiveness of a Semi-Immersive Virtual Environment in Understanding Human–Environment Interactions. Cartography and Geographic Information Science. 36(4). 367–384. 10 indexed citations

4.

Edsall, Robert M. & Elizabeth A. Wentz. (2007). Comparing Strategies for Presenting Concepts in Introductory Undergraduate Geography: Physical Models vs. Computer Visualization. Journal of Geography in Higher Education. 31(3). 427–444. 20 indexed citations

5.

Edsall, Robert M.. (2007). Iconic Maps in American Political Discourse. Cartographica The International Journal for Geographic Information and Geovisualization. 42(4). 335–347. 13 indexed citations

6.

Edsall, Robert M.. (2007). Cultural Factors in Digital Cartographic Design: Implications for Communication to Diverse Users. Cartography and Geographic Information Science. 34(2). 121–128. 12 indexed citations

7.

Edsall, Robert M.. (2003). The parallel coordinate plot in action: design and use for geographic visualization. Computational Statistics & Data Analysis. 43(4). 605–619. 71 indexed citations

8.

Edsall, Robert M.. (2003). Design and Usability of an Enhanced Geographic Information System for Exploration of Multivariate Health Statistics. The Professional Geographer. 55(2). 146–160. 32 indexed citations

9.

Edsall, Robert M., Mark Harrower, & Jeremy Mennis. (2000). Tools for visualizing properties of spatial and temporal periodicity in geographic data. Computers & Geosciences. 26(1). 109–118. 28 indexed citations

10.

MacEachren, Alan M., et al.. (1999). Constructing knowledge from multivariate spatiotemporal data: integrating geographical visualization with knowledge discovery in database methods. International Journal of Geographical Information Systems. 13(4). 311–334. 138 indexed citations

11.

MacEachren, Alan M., et al.. (1999). Virtual environments for geographic visualization. 35–40. 62 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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