Rachel Kirby

752 total citations
10 papers, 521 citations indexed

About

Rachel Kirby is a scholar working on Social Psychology, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Rachel Kirby has authored 10 papers receiving a total of 521 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Social Psychology, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Cognitive Neuroscience. Recurrent topics in Rachel Kirby's work include Social Robot Interaction and HRI (4 papers), Robotic Path Planning Algorithms (3 papers) and Behavioral and Psychological Studies (2 papers). Rachel Kirby is often cited by papers focused on Social Robot Interaction and HRI (4 papers), Robotic Path Planning Algorithms (3 papers) and Behavioral and Psychological Studies (2 papers). Rachel Kirby collaborates with scholars based in United States, United Kingdom and Qatar. Rachel Kirby's co-authors include Jodi Forlizzi, Reid Simmons, Alan Slater, Michelle Morgan, J. Richard Eiser, Philip Gammage, Neil Brooks, Stephen E. G. Lea, Maxim Makatchev and Min Kyung Lee and has published in prestigious journals such as Experimental Brain Research, Robotics and Autonomous Systems and British Journal of Social Psychology.

In The Last Decade

Rachel Kirby

9 papers receiving 490 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rachel Kirby United States	8	293	148	143	85	80	10	521
Rachel Gockley United States	7	539 1.8×	233 1.6×	296 2.1×	218 2.6×	58 0.7×	8	769
C. Kaouri United Kingdom	6	684 2.3×	133 0.9×	379 2.7×	193 2.3×	58 0.7×	6	851
M. Berlin United States	5	381 1.3×	80 0.5×	190 1.3×	157 1.8×	18 0.2×	6	503
Manja Lohse Netherlands	18	579 2.0×	103 0.7×	368 2.6×	128 1.5×	30 0.4×	54	745
Michihiro Shimada Japan	10	342 1.2×	79 0.5×	133 0.9×	140 1.6×	11 0.1×	13	460
Justin Hart United States	10	555 1.9×	121 0.8×	346 2.4×	124 1.5×	28 0.3×	25	829
Christian Becker-Asano Germany	11	396 1.4×	74 0.5×	172 1.2×	70 0.8×	13 0.2×	38	570
Heather Knight United States	12	350 1.2×	97 0.7×	154 1.1×	167 2.0×	13 0.2×	46	507
Matt Berlin United States	9	243 0.8×	114 0.8×	235 1.6×	220 2.6×	16 0.2×	10	521
Takamasa Iio Japan	16	427 1.5×	47 0.3×	255 1.8×	116 1.4×	16 0.2×	63	598

Countries citing papers authored by Rachel Kirby

Since Specialization

Citations

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

Fields of papers citing papers by Rachel Kirby

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rachel Kirby

This figure shows the co-authorship network connecting the top 25 collaborators of Rachel Kirby. A scholar is included among the top collaborators of Rachel Kirby 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 Rachel Kirby. Rachel Kirby 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:

10 of 10 papers shown

1.

Simmons, Reid, Maxim Makatchev, Rachel Kirby, et al.. (2011). Believable Robot Characters. AI Magazine. 32(4). 39–52. 40 indexed citations

2.

Simmons, Reid, Jodi Forlizzi, & Rachel Kirby. (2010). Social robot navigation. 61 indexed citations

3.

Kirby, Rachel, Jodi Forlizzi, & Reid Simmons. (2009). Affective social robots. Robotics and Autonomous Systems. 58(3). 322–332. 147 indexed citations

4.

Kirby, Rachel, Reid Simmons, & Jodi Forlizzi. (2009). Variable sized grid cells for rapid replanning in dynamic environments. 25. 4913–4918. 8 indexed citations

5.

Kirby, Rachel, Reid Simmons, & Jodi Forlizzi. (2009). COMPANION: A Constraint-Optimizing Method for Person-Acceptable Navigation. 607–612. 120 indexed citations

6.

Slater, Alan & Rachel Kirby. (1998). Innate and learned perceptual abilities in the newborn infant. Experimental Brain Research. 123(1-2). 90–94. 40 indexed citations

7.

Eiser, J. Richard, Michelle Morgan, Philip Gammage, Neil Brooks, & Rachel Kirby. (1991). Adolescent health behaviour and similarity‐attraction: Friends share smoking habits (really), but much else besides. British Journal of Social Psychology. 30(4). 339–348. 84 indexed citations

8.

Lea, Stephen E. G., et al.. (1989). ALGORITHMIC SHAPING AND MISBEHAVIOR IN THE ACQUISITION OF TOKEN DEPOSIT BY RATS. Journal of the Experimental Analysis of Behavior. 52(1). 27–40. 20 indexed citations

9.

Morris, Reg C., et al.. (1979). Effects of Signalling Reinforcement Which Maintains Variable Ratio Performance of Rats and Pigeons. Psychological Reports. 44(3). 843–852.

10.

Morris, Reg C., et al.. (1978). Animal Learning of Independent and Correlated Events. Quarterly Journal of Experimental Psychology. 30(1). 105–111. 1 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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