Amol Hukkerikar

590 total citations
9 papers, 447 citations indexed

About

Amol Hukkerikar is a scholar working on Organic Chemistry, Control and Systems Engineering and Biomedical Engineering. According to data from OpenAlex, Amol Hukkerikar has authored 9 papers receiving a total of 447 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Organic Chemistry, 3 papers in Control and Systems Engineering and 3 papers in Biomedical Engineering. Recurrent topics in Amol Hukkerikar's work include Chemical Thermodynamics and Molecular Structure (4 papers), Process Optimization and Integration (3 papers) and Computational Drug Discovery Methods (2 papers). Amol Hukkerikar is often cited by papers focused on Chemical Thermodynamics and Molecular Structure (4 papers), Process Optimization and Integration (3 papers) and Computational Drug Discovery Methods (2 papers). Amol Hukkerikar collaborates with scholars based in Denmark, Netherlands and Russia. Amol Hukkerikar's co-authors include Rafiqul Gani, Gürkan Sin, Bent Sarup, Antoon ten Kate, Jens Abildskov, Douglas M. Young, Sawitree Kalakul, Robert J. Meier, Xiaodong Liang and Roberta Ceriani and has published in prestigious journals such as Chemical Engineering Science, Journal of Chemical Information and Modeling and Fluid Phase Equilibria.

In The Last Decade

Amol Hukkerikar

7 papers receiving 428 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Amol Hukkerikar Denmark	6	169	159	154	138	122	9	447
Antoon ten Kate Netherlands	10	331 2.0×	139 0.9×	141 0.9×	134 1.0×	83 0.7×	13	640
Bent Sarup Denmark	13	349 2.1×	223 1.4×	137 0.9×	223 1.6×	103 0.8×	21	722
Tareq A. Albahri Kuwait	13	203 1.2×	190 1.2×	183 1.2×	119 0.9×	138 1.1×	33	731
Peter M. Harper Denmark	6	135 0.8×	98 0.6×	71 0.5×	312 2.3×	92 0.8×	8	489
Jan G. Rittig Germany	11	104 0.6×	147 0.9×	32 0.2×	82 0.6×	115 0.9×	14	344
Peter Crafts United Kingdom	6	100 0.6×	176 1.1×	62 0.4×	62 0.4×	38 0.3×	9	305
Sawitree Kalakul Denmark	7	69 0.4×	52 0.3×	26 0.2×	129 0.9×	60 0.5×	8	272
Petr Kolář Czechia	15	346 2.0×	230 1.4×	142 0.9×	130 0.9×	43 0.4×	35	898
Joan Cordiner United Kingdom	11	65 0.4×	109 0.7×	30 0.2×	96 0.7×	30 0.2×	30	402
Scott M. Stark United States	8	135 0.8×	174 1.1×	68 0.4×	40 0.3×	96 0.8×	10	548

Countries citing papers authored by Amol Hukkerikar

Since Specialization

Citations

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

Fields of papers citing papers by Amol Hukkerikar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amol Hukkerikar

This figure shows the co-authorship network connecting the top 25 collaborators of Amol Hukkerikar. A scholar is included among the top collaborators of Amol Hukkerikar 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 Amol Hukkerikar. Amol Hukkerikar 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

Liang, Xiaodong, et al.. (2017). Estimation of physical properties of amino acids by group-contribution method. Chemical Engineering Science. 175. 148–161. 33 indexed citations

Hukkerikar, Amol, Bent Sarup, Gürkan Sin, & Rafiqul Gani. (2013). Molecular structure based property modeling: Development/ improvement of property models through a systematic property-data-model analysis. 1 indexed citations

Cunico, Larissa P., Amol Hukkerikar, Roberta Ceriani, Bent Sarup, & Rafiqul Gani. (2013). Molecular structure-based methods of property prediction in application to lipids: A review and refinement. Fluid Phase Equilibria. 357. 2–18. 26 indexed citations

Hukkerikar, Amol. (2013). Development of pure component property models for chemical product-process design and analysis. 7 indexed citations

Hukkerikar, Amol, Robert J. Meier, Gürkan Sin, & Rafiqul Gani. (2013). A method to estimate the enthalpy of formation of organic compounds with chemical accuracy. Fluid Phase Equilibria. 348. 23–32. 54 indexed citations

Hukkerikar, Amol, Sawitree Kalakul, Bent Sarup, et al.. (2012). Estimation of Environment-Related Properties of Chemicals for Design of Sustainable Processes: Development of Group-Contribution⁺ (GC⁺) Property Models and Uncertainty Analysis. Journal of Chemical Information and Modeling. 52(11). 2823–2839. 91 indexed citations

Hukkerikar, Amol, Bent Sarup, Antoon ten Kate, et al.. (2012). Group-contribution+ (GC+) based estimation of properties of pure components: Improved property estimation and uncertainty analysis. Fluid Phase Equilibria. 321. 25–43. 235 indexed citations

Hukkerikar, Amol, Bent Sarup, Gürkan Sin, & Rafiqul Gani. (2011). A Systematic Methodology for Uncertainty Analysis of Group Contribution Based and Atom Connectivity Index Based Models for Estimation of Properties of Pure Components.

Mustaffa, Azizul Azri, Amol Hukkerikar, Alberto Quaglia, et al.. (2011). Building a multilevel modeling network for lipid processing systems. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU). 1–7.

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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