Christopher Richard

408 total citations
9 papers, 260 citations indexed

About

Christopher Richard is a scholar working on Cognitive Neuroscience, Mechanical Engineering and Automotive Engineering. According to data from OpenAlex, Christopher Richard has authored 9 papers receiving a total of 260 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cognitive Neuroscience, 7 papers in Mechanical Engineering and 1 paper in Automotive Engineering. Recurrent topics in Christopher Richard's work include Teleoperation and Haptic Systems (7 papers), Tactile and Sensory Interactions (4 papers) and Motor Control and Adaptation (3 papers). Christopher Richard is often cited by papers focused on Teleoperation and Haptic Systems (7 papers), Tactile and Sensory Interactions (4 papers) and Motor Control and Adaptation (3 papers). Christopher Richard collaborates with scholars based in United States and France. Christopher Richard's co-authors include Mark R. Cutkosky, Allison M. Okamura, Karon E. MacLean, John Campbell, James L. Brown and Albert Benveniste and has published in prestigious journals such as IEEE Transactions on Communications, Journal of Engineering Education and Dynamic Systems and Control.

In The Last Decade

Christopher Richard

8 papers receiving 235 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Christopher Richard United States	7	160	130	77	58	40	9	260
Tetsuro Ogi Japan	9	86 0.5×	99 0.8×	186 2.4×	35 0.6×	16 0.4×	68	328
Matthew Glisson United States	6	115 0.7×	212 1.6×	186 2.4×	71 1.2×	89 2.2×	8	355
Iason Vittorias Germany	7	166 1.0×	122 0.9×	95 1.2×	37 0.6×	36 0.9×	11	294
Steven C. Venema United States	8	184 1.1×	71 0.5×	54 0.7×	118 2.0×	65 1.6×	16	273
Michael J. Massimino United States	7	192 1.2×	176 1.4×	110 1.4×	58 1.0×	68 1.7×	18	311
Ryad Chellali Italy	9	42 0.3×	115 0.9×	99 1.3×	57 1.0×	13 0.3×	32	296
Dairoku Sekiguchi Japan	8	105 0.7×	151 1.2×	233 3.0×	37 0.6×	55 1.4×	19	345
Takuto Nakamura Japan	9	64 0.4×	161 1.2×	166 2.2×	13 0.2×	37 0.9×	60	292
P. Coiffet France	10	174 1.1×	103 0.8×	76 1.0×	132 2.3×	48 1.2×	26	293
Christophe Leroux France	10	45 0.3×	51 0.4×	68 0.9×	106 1.8×	64 1.6×	26	268

Countries citing papers authored by Christopher Richard

Since Specialization

Citations

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

Fields of papers citing papers by Christopher Richard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher Richard

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Cutkosky, Mark R., Christopher Richard, & Allison M. Okamura. (2020). Feeling Is Believing: Using A Force Feedback Joystick To Teach Dynamic Systems. 5.298.1–5.298.15.

2.

Richard, Christopher, John Campbell, & James L. Brown. (2006). Task Analysis of Intersection Driving Scenarios: Information Processing Bottlenecks. 19 indexed citations

3.

Richard, Christopher & Mark R. Cutkosky. (2003). Friction modeling and display in haptic applications involving user performance. 1. 605–611. 22 indexed citations

4.

Okamura, Allison M., Christopher Richard, & Mark R. Cutkosky. (2002). Feeling is Believing: Using a Force‐Feedback Joystick to Teach Dynamic Systems. Journal of Engineering Education. 91(3). 345–349. 107 indexed citations

5.

Richard, Christopher & Mark R. Cutkosky. (2000). The Effects of Real and Computer Generated Friction on Human Performance in a Targeting Task. 1101–1108. 14 indexed citations

6.

Richard, Christopher, Mark R. Cutkosky, & Karon E. MacLean. (1999). Friction Identification for Haptic Display. Dynamic Systems and Control. 327–334. 38 indexed citations

7.

Richard, Christopher, Allison M. Okamura, & Mark R. Cutkosky. (1997). Getting a Feel for Dynamics: Using Haptic Interface Kits for Teaching Dynamics and Controls. Dynamic Systems and Control. 153–157. 34 indexed citations

8.

Richard, Christopher & Mark R. Cutkosky. (1997). Contact Force Perception With an Ungrounded Haptic Interface. Dynamic Systems and Control. 181–187. 20 indexed citations

9.

Richard, Christopher, et al.. (1984). Recursive Estimation of Local Characteristics of Edges in TV Pictures as Applied to ADPCM Coding. IEEE Transactions on Communications. 32(6). 718–728. 6 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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