N.A. Mirza

537 total citations
9 papers, 338 citations indexed

About

N.A. Mirza is a scholar working on Social Psychology, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, N.A. Mirza has authored 9 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Social Psychology, 6 papers in Artificial Intelligence and 4 papers in Cognitive Neuroscience. Recurrent topics in N.A. Mirza's work include Social Robot Interaction and HRI (5 papers), Reinforcement Learning in Robotics (5 papers) and Embodied and Extended Cognition (3 papers). N.A. Mirza is often cited by papers focused on Social Robot Interaction and HRI (5 papers), Reinforcement Learning in Robotics (5 papers) and Embodied and Extended Cognition (3 papers). N.A. Mirza collaborates with scholars based in United Kingdom and Italy. N.A. Mirza's co-authors include Kerstin Dautenhahn, Chrystopher L. Nehaniv, Ben Robins, Michael L. Walters, Hatice Köse and René te Boekhorst and has published in prestigious journals such as Applied Bionics and Biomechanics and University of Hertfordshire Research Archive (University of Hertfordshire).

In The Last Decade

N.A. Mirza

9 papers receiving 322 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
N.A. Mirza United Kingdom	6	214	171	79	63	49	9	338
Tamie Salter Canada	11	209 1.0×	154 0.9×	92 1.2×	46 0.7×	82 1.7×	14	360
Jaeryoung Lee Japan	10	138 0.6×	223 1.3×	66 0.8×	43 0.7×	34 0.7×	30	382
Caitlyn Clabaugh United States	9	167 0.8×	140 0.8×	112 1.4×	24 0.4×	41 0.8×	14	330
Amir Aly United Kingdom	9	271 1.3×	165 1.0×	157 2.0×	43 0.7×	65 1.3×	26	477
Eric Deng United States	7	210 1.0×	117 0.7×	136 1.7×	22 0.3×	56 1.1×	10	366
Karla Conn United States	7	110 0.5×	228 1.3×	36 0.5×	31 0.5×	39 0.8×	8	354
Giuseppe Palestra Italy	12	138 0.6×	124 0.7×	103 1.3×	28 0.4×	25 0.5×	31	413
Laura Boccanfuso United States	9	189 0.9×	278 1.6×	94 1.2×	53 0.8×	40 0.8×	16	507
Greet Van de Perre Belgium	11	151 0.7×	114 0.7×	80 1.0×	24 0.4×	82 1.7×	39	331
Nicole Salomons United States	9	380 1.8×	193 1.1×	213 2.7×	55 0.9×	67 1.4×	18	584

Countries citing papers authored by N.A. Mirza

Since Specialization

Citations

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

Fields of papers citing papers by N.A. Mirza

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of N.A. Mirza

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

All Works

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9 of 9 papers shown

Dautenhahn, Kerstin, Chrystopher L. Nehaniv, Michael L. Walters, et al.. (2009). KASPAR – A Minimally Expressive Humanoid Robot for Human–Robot Interaction Research. Applied Bionics and Biomechanics. 6(3-4). 369–397. 95 indexed citations

Dautenhahn, Kerstin, Chrystopher L. Nehaniv, Michael L. Walters, et al.. (2009). KASPAR – a minimally expressive humanoid robot for human–robot interaction research. Applied Bionics and Biomechanics. 6(3-4). 369–397. 173 indexed citations

Mirza, N.A., Chrystopher L. Nehaniv, Kerstin Dautenhahn, & René te Boekhorst. (2008). Developing social action capabilities in a humanoid robot using an interaction history architecture. University of Hertfordshire Research Archive (University of Hertfordshire). 3. 609–616. 14 indexed citations

Mirza, N.A., Chrystopher L. Nehaniv, Kerstin Dautenhahn, & René te Boekhorst. (2006). Peekaboo: Effect of Experience Length on the Interaction History Driven Ontogeny of a Robot. University of Hertfordshire Research Archive (University of Hertfordshire). 1 indexed citations

Robins, Ben, et al.. (2006). Sustaining interaction dynamics and engagement in dyadic child-robot interaction kinesics: lessons learnt from an exploratory study. 716–722. 37 indexed citations

Mirza, N.A., Chrystopher L. Nehaniv, Kerstin Dautenhahn, & René te Boekhorst. (2006). Interaction Histories: From Experience to Action and Back Again.. University of Hertfordshire Research Archive (University of Hertfordshire). 5 indexed citations

Mirza, N.A., Chrystopher L. Nehaniv, Kerstin Dautenhahn, & René te Boekhorst. (2005). Using Temporal Information Distance to Locate Sensorimotor Experience in a Metric Space. 1. 150–157. 4 indexed citations

Mirza, N.A., Chrystopher L. Nehaniv, René te Boekhorst, & Kerstin Dautenhahn. (2005). Robot Self-Characterisation of Experience Using Trajectories in Sensory-Motor Phase Space. University of Hertfordshire Research Archive (University of Hertfordshire). 2 indexed citations

Mirza, N.A., Chrystopher L. Nehaniv, Kerstin Dautenhahn, & René te Boekhorst. (2005). Using Sensory-Motor Phase-plots to Characterise Robot-Environment Interactions. 581–586. 7 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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